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11 Mar 2024 Job Information Organisation/Company University of Helsinki Research Field Geography Researcher Profile First Stage Researcher (R1) Country Finland Application Deadline 15 Apr 2024 - 23:59 (Europe/Brussels) Type of Contract Temporary Job Status Full-time Is the job funded through the...
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collection at international facilities. About you • you are ambitious, goal-oriented, collegial and motivated to tackle challenging new projects • PhD degree (or be in the final stages of PhD submission
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to maximize the career potential of all DCs. More information on the project: www.sunsetproject.eu. PhD project description The doctoral project will investigate the role of knowledge and how investments in
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Newspapers and different kinds of text reuse datasets compiled from these datasets. Host institution: University of Helsinki (Finland) PhD: PhD in Digital Humanities or Intellectual History Main supervisor
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of Helsinki (Finland) PhD: PhD in Digital Humanities / Data Science Main supervisor: prof. Eetu Mäkelä (University of Helsinki, Faculty of Arts, Digital Humanities) Second supervisor: prof. Mikko Tolonen
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researcher (PhD student), who recently completed their MSc degree in the field of Physics, Chemistry, Computational Biology or any other similar area with good experience in Linux/Unix operating system usage
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are looking for a highly motivated and skilled researcher with a PhD degree and experience in plant ecophysiology, ecology or related field. A successful candidate should be able to Design, conduct, and publish
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made and the candidate is available (preferably around 1 April 2024). The position is filled with a 6 month probationary period. We are seeking for a talented and motivated PhD student in bioinformatics
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possible. The candidate is expected to have a PhD in computer science or other relevant field, strong research track with publications in top venue of the research field, such as the premier ACM and IEEE
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assessment An appointee to the position of an Assistant/Associate Professor in the tenure track shall hold a PhD degree in veterinary epidemiology or other suitable field, have the ability to conduct